A penalized motion detection model for extracting ionospheric echoes from low signal-to-noise ratio Ionogram video images

DOI

Description

Measuring the altitude distribution of electron density in the upper atmosphere, known as the ionosphere, using HighFrequency radio wave reflections often causes the low signal-to-noise ratio of ionospheric echoes due to radio frequency interference. We propose a model for converting low-signal-to-noise-ratio ionospheric echo video images (Ionogram) into noise-reduced images using image processing techniques, for tracing the ionospheric echoes from Ionogram. The proposed method consists of three processing parts: noise removal optimized for individual Ionogram images, extraction of ionospheric echoes by penalized background subtraction technique, and fine-tuning of ionospheric echo signals using a minimum spanning tree algorithm. The proposed model successfully reproduces fine Ionograms with 98% recall and 99% precision.

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Details 詳細情報について

  • CRID
    1390581456538570880
  • DOI
    10.5954/icarob.2024.gs5-3
  • ISSN
    21887829
  • Text Lang
    en
  • Data Source
    • JaLC
    • Crossref
    • OpenAIRE
  • Abstract License Flag
    Disallowed

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